Business Engineering | Industrial Engineering internship: aligning data with reality

Introduction

The EUV Factory develops, builds, and tests the most advanced lithography systems before they move to customer sites. The team focuses on improving system performance and supporting operational excellence across all production activities. A key challenge is increasing the accuracy and transparency of Mean Time to Repair (MTTR) data, which strongly influences machine availability and service efficiency. Today’s MTTR data contains timestamp gaps, inconsistent logging practices, and limited visibility into real-life repair execution. This internship helps the team understand these gaps and propose improvements that support reliable and predictable service actions.

Your assignment

In this internship, you explore how MTTR data is captured, how service actions take place on the factory floor, and how both can be better aligned. You work closely with engineers and technicians to understand how operational behavior translates into data. You also assess which process, logging, or workflow improvements enable more accurate reporting. Your findings help enhance transparency and strengthen performance improvement initiatives.

Your main responsibilities will be:

• Investigate how timestamps and service logs are recorded during repair activities.

• Analyze accuracy, completeness, and consistency of existing logging structures.

• Observe real-life service actions in the cleanroom to understand operational behavior.

• Identify gaps between recorded data and actual repair execution.

• Recommend improvements in workflows, documentation practices, or reporting structures.

• Support transparency by contributing to clearer data interpretation guidelines.

• Document findings and present improvement proposals to stakeholders.

This is a bachelor’s or master’s (thesis) internship for a minimum of 5 months, for a minimum of 4 days per week (approximately 4 days on-site, flexibility possible). The start date of this internship is projected at the end of August 2026, with the possibility to start earlier.

Your profile

To be suitable for the internship, you:

• Are pursuing a bachelor’s or master’s degree in Business Engineering, Industrial Engineering, Data Analytics, or a related field.

• Are analytical and able to translate data insights into real operational behavior.

• Have affinity with a technical environment, and are comfortable walking around the factory floor and asking questions during observations.

• Are collaborative and willing to engage with technicians and engineers.

• Are able to communicate in English on a professional level.

This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.

Inclusion and diversity

ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.

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